Kim, Sun-Min;Yorozu, Kazuaki;Tachikawa, Yasuto;Shiiba, Michiharu
Proceedings of the Korea Water Resources Association Conference
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2011.05a
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pp.15-15
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2011
The radar observation system in Japan is operated by two governmental groups: Japan Meteorological Agency (JMA) and the Ministry of Land, Infrastructure, Transport and Tourism (MLIT) of Japan. The JMA radar observation network is comprised of 20 C-band radars (with a wavelength of 5.6 cm), which cover most of the Japan Islands and observe rainfall intensity and distribution. And the MLIT's radar observation system is composed of 26 C-band radars throughout Japan. The observed radar echo from each radar unit is first modified, and then sent to the National Bureau of Synthesis Process within the MLIT. Through several steps for homogenizing observation accuracy, including distance and elevation correction, synthesized rainfall intensity maps for the entire nation of Japan are generated every 5 minutes. The MLIT has recently launched a new radar observation network system designed for flash flood observation and forecasting in small river basins within urban areas. It is called the X-band multi parameter radar network, and is distinguished by its dual polarimetric wave pulses of short length (3cm). Attenuation problems resulting from the short wave length of radar echo are strengthened by polarimetric wavelengths and very dense radar networks. Currently, the network is established within four areas. Each area is observed using 3-4 X-band radars with very fine resolution in spatial (250 m) and temporal (1 minute intervals). This study provides a series of utilization procedures for the new input data into a real-time forecasting system. First of all, the accuracy of the X-band radar observation was determined by comparing its results with the rainfall intensities as observed by ground gauge stations. It was also compared with conventional C-band radar observation. The rainfall information from the new radar network was then provided to a distributed hydrologic model to simulate river discharges. The simulated river discharges were evaluated again using the observed river discharge to estimate the applicability of the new observation network in the context of operations regarding flood forecasting. It was able to determine that the newly equipped X-band polarimetric radar network shows somewhat improved observation accuracy compared to conventional C-band radar observation. However, it has a tendency to underestimate the rainfall, and the accuracy is not always superior to that of the C-band radar. The accuracy evaluation of the X-band radar observation in this study was conducted using only limited rainfall events, and more cases should be examined for developing a broader understanding of the general behavior of the X-band radar and for improving observation accuracy.
The overemphasis of the priority of reason over will runs the risk of resulting in intellectual determinism. On the contrary, it is also unfair to underestimate the role of reason in Saint Thomas Aquinas' theory of the free will to avoid intellectual determinism. For, according to Thomas, "the will inclines to the good, insofar as it is an appetite, and it follows the judgment of the reason in the pursuit of the good, insofar as it is a 'rational' appetite." It is the objective of this article to show that, for Thomas, the idea of the free will is not contradictory to that of the will's following the judgment of reason. For this purpose, it is decisive to adequately evaluate the role of reason in Thomas's theory of the free will. This article therefore proves that in principle Thomas argues the priority of the will over reason as well as the freedom of the will, and that he nevertheless recognizes the role of reason which precedes the choice of the will by making the second-level judgment even when the will chooses not to follow the first-level judgement of reason. It is entirely up to the will to follow the judgement and order of reason or not. It explains the freedom of the will. But 'not to follow reason' is contradictory to the essential determination of the will as the 'rational' appetite. For from the will's not following reason, wrong-doing follows; the human act which does not conform to reason. This article therefore argues that for Thomas, the 'true' liberty of the will corresponding to its determination as the rational appetite consists in its following the rule and order of reason, not in acting against the judgement of reason.
Soil testing laboratories unfamiliar with turfgrasses will often overestimate the plant's need for phosphorus and underestimate the need for potassium. This is partly due to differences in rooting between grasses and many garden plants and crops. The grasses are generally more efficient in extracting phosphorus from the soil, reducing their need for phosphorus fertilizer. The fact that crop yield is often the primary objective in field crop production, and is usually of little interest in turfgrass management, may affect soil test interpretation for potassium. Potassium levels above those required for maximum tissue yield of grasses may improve stress tolerance and turfgrasses will usually benefit from higher applications of this element. There are also diffrrences in soil testing philosophies. Some laboratories use the sufficiency level of available nutrients(SLAN) approach, whereas others prefer the basic cation saturation ratio(BCSR) approach. Some will use a combination of the two methods. The use of the BCSR theory easily lends itself to abuse and questionable fertilizer applications and products are sometimes recommended citing imbalances in cation ratios. The usefulness of the BCSR ratio theory of soil testing varies with soil texture and interpretations on tests performed on sand-based media are particularly a problem. Other soil testing problems occur when sand-based media used on sports fields and golf greens contain free calcium carbonate. The ammonium acetate extractant at pH 7.0 dissolves excessive amounts of calcium that can bias cation exchange capacity measurements and measurements of cation ratios. Adjusting the pH of the extractant to 8.1 can improve the accuracy of the testing procedure for calcareous media.
Objectives : To investigate clinical and symptomatic differences among motoric subtypes of delirium. Methods : A total of 256 patients referred to psychiatric consultation services for delirium due to general medical condition were assessed retrospectively. Motoric subtypes were determined according to Lipowski's criteria for hyperactive, hypoactive and mixed subtypes. All patients were evaluated according to Delirium Rating Scale-Revised-98(DRS-98-R) by trained psychiatrists to obtain symptomatic profiles of delirium. Results : Hyperactive subtype were 50.8%(n=130), mixed 46.1%(n=118) and hypoactive 3.1%(n=8). Hyperactive patients were younger than mixed subtype($69.62{\pm}13.976$ vs. $73.97{\pm}11.569$, p=0.022) and received antipsychotics to manage symptoms of delirium more frequently(83.8% vs. 57.6%, p<0.001). Hyperactive patients had higher DRS-R-98 scores on both noncognitive($7.14{\pm}3.543$ for hyperactive, $5.62{\pm}3.279$ for mixed subtype) and cognitive subscales($10.00{\pm}3.574$ for hyperactive, $6.38{\pm}2.875$ for hypoactive, $7.43{\pm}3.771$ for mixed subtype, p<0.001). Conclusions : We demonstrated that clinical and symptomatic profiles were different across motoric subtypes in delirium. Diagnostic and therapeutic approach should be made differently according to motoric subtypes of delirium and special attention is needed not to underestimate or delay treatment in specific motoric subtype of delirium.
Yea, Geu Guwen;Yun, Dae Hee;Yun, Do Kyun;Choi, Yongkyu
Journal of the Korean Geotechnical Society
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v.35
no.8
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pp.31-42
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2019
A total of 73 pile design data for prebored PHC piles was analyzed to study the current design method. Based on the design data, a ratio of skin friction to total capacity from the pile design data was about 20~53%. Such low ratio of skin friction to total capacity tends to underestimate skin friction. Considering this tendency, the current design method should be improved. Also, an average design efficiency of PHC pile capacity was 70% and an average design efficiency for bearing capacity of soil or weathered rock was 80%, which shows slightly higher value than the former. This is probably due to the fact that the allowable bearing capacity is estimated to be equal to or slightly higher than the design load. Hence, the allowable bearing capacity should be estimated to be higher than the long-term allowable compressive force of the PHC pile. In the current design method, skin friction is calculated to be about 2.2 times lower than end bearing. The current design method for prebored PHC piles applied foreign design methods without any verification of applicability to the domestic soil or rock condition. Therefore, the current design method for prebored PHC piles should be improved.
Journal of the Korean Society for Aeronautical & Space Sciences
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v.47
no.7
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pp.489-498
/
2019
The airloads and structural loads of Light Civil Helicopter (LCH) rotor are investigated using a loose CFD/CSD coupling. The structural dynamics model for LCH 5-bladed rotor cwith elastomeric bearing and inter-bladed damper is constructed using CAMRAD-II. Either isolated rotor or rotor-fuselage model is used to identify the effect of the fuselage on the aeromechanics behavior at a cruise speed of 0.28. The fuselage effect is shown to be marginal on the aeromechanics predictions of LCH rotor, though the effect can be non-negligible for the tail structure due to the prevailing root vortices strengthened by the fuselage upwash. A lifting-line based comprehensive analysis is also conducted to verify the CFD/CSD coupled analysis. The comparison study shows that the comprehensive analysis predictions are generally in good agreements with CFD/CSD coupled results. However, the predicted comprehensive analysis results underestimate peak-to-peak values of blade section airloads and elastic motions due to the limitation of unsteady aerodynamic predictions. Particularly, significant discrepancies appear in the structural loads with apparent phase differences.
Journal of the Korean Regional Science Association
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v.35
no.2
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pp.19-31
/
2019
There have been a growing number of studies that show huge discrepancies between individuals' perceptions of relative economic position and the economic position based on the reported income in the survey. If this is the case, it is expected that the impact of perceived income status on individual happiness can be different from that of objective income status based on the reported income. The aim of this study is to investigate the factors affecting the discrepancies between perception and reality with respect to relative income status, focusing on the 'Reference group theory'. This study also tries to extend existing knowledge of the relative status on the happiness level of individuals, by examining how individual's happiness can be changed by providing the accurate information about their objective income level. There are systematic biases in perceived income status. A majority of people who actually rank in the lower part of income ladder place themselves in higher positions, while a significant portion of rich individuals underestimate their actual income status. Secondly, the misperception about the income distribution is affected by a variety of individual, household characteristics and reference group income. Thirdly, providing individuals with accurate information has a considerable effect on their happiness level.
Korean Journal of Agricultural and Forest Meteorology
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v.20
no.4
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pp.376-385
/
2018
To estimate the hourly temperature distribution due to solar radiation during the day, on slope in complex terrain, an empirical formula was developed including the hourly deviation in the observed temperature following solar radiation deviation, at weather stations on the east-facing and west-facing slopes. The solar radiation effect was simulated using the empirical formula to estimate hourly temperature at 11 weather observation sites in mountainous agricultural areas, and the result was verified for the period from January 2015 to December 2017. When the estimated temperature was compared with the control, only considering temperature lapse rate, it was found that the tendency to underestimate the temperature from 9 am to 3 pm was reduced with the use of an empirical formula in the form of linear expression; consequently, the estimation error was reduced as well. However, for the time from 5 pm to 6 pm, the estimation error was smaller when a hyperbolic equation drawn from the deviation in solar radiation on the slope, which was calculated based on geometric conditions, was used instead of observed values. The reliability of estimating the daytime temperature at 3 pm was compared with existing estimation model proposed in other studies; the estimation error could be mitigated up to an ME (mean error) of $-0.28^{\circ}C$ and RMSE (root mean square error) of $1.29^{\circ}C$ compared to the estimation error in previous models (ME $-1.20^{\circ}C$, RMSE $2.01^{\circ}C$).
Han, Daehyeon;Kim, Young Jun;Im, Jungho;Lee, Sanggyun;Lee, Yeonsu;Kim, Hyun-cheol
Korean Journal of Remote Sensing
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v.34
no.6_2
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pp.1261-1272
/
2018
It is important to measure the Arctic surface air temperature because it plays a key-role in the exchange of energy between the ocean, sea ice, and the atmosphere. Although in-situ observations provide accurate measurements of air temperature, they are spatially limited to show the distribution of Arctic surface air temperature. In this study, we proposed machine learning-based models to estimate the Arctic surface air temperature in summer based on buoy data and Advanced Microwave Scanning Radiometer 2 (AMSR2)satellite data. Two machine learning approaches-random forest (RF) and support vector machine (SVM)-were used to estimate the air temperature twice a day according to AMSR2 observation time. Both RF and SVM showed $R^2$ of 0.84-0.88 and RMSE of $1.31-1.53^{\circ}C$. The results were compared to the surface air temperature and spatial distribution of the ERA-Interim reanalysis data from the European Center for Medium-Range Weather Forecasts (ECMWF). They tended to underestimate the Barents Sea, the Kara Sea, and the Baffin Bay region where no IABP buoy observations exist. This study showed both possibility and limitations of the empirical estimation of Arctic surface temperature using AMSR2 data.
The closed chamber method, which is one of the most commonly used method for measuring greenhouse gases produced in rice paddy fields, has limitations in measuring dynamic $CH_4$ flux with spatio-temporal constrains. In order to deal with the limitation of the closed chamber method, some studies based on open-path of eddy covariance method have been actively conducted recently. The aim of this study was to compare the $CH_4$ fluxes measured by open-path and closed chamber method in the paddy rice fields. The open-path, one of the gas ($CO_2$, $CH_4$ etc.) analysis methods, is technology where a laser beam is emitted from the source passes through the open cell, reflecting multiple times from the two mirrors, and then detecting. The $CH_4$ emission patterns by these two methods during rice cultivation season were similar, but the total $CH_4$ emission measured by open-path method were 31% less than of the amount measured by closed chamber. The reason for the difference in $CH_4$ emission was due to overestimation by closed chamber and underestimation by open-path. The closed chamber method can overestimate $CH_4$ emissions due to environmental changes caused by high temperature and light interruption by acrylic partition in chamber. On the other hand, the open-path method for eddy covariance can underestimate its emission because it assumes density fluctuations and horizontal homogeneous terrain negligible However, comparing $CH_4$ fluxes at the same sampling time (AM 10:30-11:00, 30-min fluxes) showed good agreements ($r^2=0.9064$). The open-path measurement technique is expected to be a good way to compensate for the disadvantage of the closed chamber method because it can monitor dynamic $CH_4$ fluctuation even if data loss is taken into account.
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